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    "#### 经典卷积神经网络小结\n",
    "\n",
    "    LeNet1998：卷积网络开篇之作，共享卷积核，减少网络参数\n",
    "    AlexNet2012：使用relu激活函数，提升训练速度；使用Dropout，缓解过拟合\n",
    "    VGGNet2014：小尺寸卷积核减少参数，网络结构规整，适合并行加速\n",
    "    InceptionNet2014：一层内使用不同尺寸卷积核，提升感知力使用批标准化，缓解梯度消\n",
    "    ResNet2015：层间残差跳连，引入前方信息，缓解模型退化，使神经网络层数加深成为可能"
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